example: android: fix PCMark notebook Re-run and fix PCMark notebook on Pixel. - Modify target to Pixel - Modify logcat wait time to be able to capture scores Signed-off-by: Ionela Voinescu <ionela.voinescu@arm.com>

commit: b0a39f1a8f9dea11c3321c6790f51d93c6379bcf [log] [tgz]
author: Ionela Voinescu <ionela.voinescu@arm.com> Thu Dec 08 17:43:43 2016 +0000
committer: Ionela Voinescu <ionela.voinescu@arm.com> Mon Dec 12 13:26:04 2016 +0000
tree: 4bdae0216394a292449ed295844d1d2409019794
parent: f6c25ff7c4f0e0070a1cf76414ddd602cd5d69f5 [diff]
diff --git a/ipynb/examples/android/benchmarks/Android_PCMark.ipynb b/ipynb/examples/android/benchmarks/Android_PCMark.ipynb
index e014ad2..cbd0e45 100644
--- a/ipynb/examples/android/benchmarks/Android_PCMark.ipynb
+++ b/ipynb/examples/android/benchmarks/Android_PCMark.ipynb

@@ -4,14 +4,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# EAS Testing - PCMark benchmark on Android"
+    "# PCMark benchmark on Android"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The goal of this experiment is to run benchmarks on a Nexus N5X running Android with an EAS kernel and collect results. The analysis phase will consist in comparing EAS with other schedulers, that is comparing *sched* governor with:\n",
+    "The goal of this experiment is to run benchmarks on a Pixel device running Android with an EAS kernel and collect results. The analysis phase will consist in comparing EAS with other schedulers, that is comparing *sched* governor with:\n",
     "\n",
     "    - interactive\n",
     "    - performance\n",
@@ -29,7 +29,16 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2016-12-12 13:09:13,035 INFO    : root         : Using LISA logging configuration:\n",
+      "2016-12-12 13:09:13,035 INFO    : root         :   /home/vagrant/lisa/logging.conf\n"
+     ]
+    }
+   ],
    "source": [
     "import logging\n",
     "from conf import LisaLogging\n",
@@ -75,14 +84,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Test Environment set up"
+    "## Test environment setup\n",
+    "\n",
+    "For more details on this please check out **examples/utils/testenv_example.ipynb**."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In case more than one Android device are conencted to the host, you must specify the ID of the device you want to target in `my_target_conf`. Run `adb devices` on your host to get the ID."
+    "In case more than one Android device are conencted to the host, you must specify the ID of the device you want to target in `my_target_conf`. Run `adb devices` on your host to get the ID. Also, you have to specify the path to your android sdk in ANDROID_HOME."
    ]
   },
   {
@@ -100,10 +111,12 @@
     "    \"platform\"    : 'android',\n",
     "\n",
     "    # Add target support\n",
-    "    \"board\" : 'n5x',\n",
+    "    \"board\" : 'pixel',\n",
     "    \n",
     "    # Device ID\n",
-    "    #\"device\" : \"00b1346f0878ccb1\",\n",
+    "    \"device\" : \"HT6670300102\",\n",
+    "    \n",
+    "    \"ANDROID_HOME\" : \"/home/vagrant/lisa/tools/android-sdk-linux/\",\n",
     "    \n",
     "    # Define devlib modules to load\n",
     "    \"modules\"     : [\n",
@@ -148,19 +161,31 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2016-04-04 09:56:39,384 INFO    :         Target - Using base path: /home/pippo/work/lisa\n",
-      "2016-04-04 09:56:39,385 INFO    :         Target - Loading custom (inline) target configuration\n",
-      "2016-04-04 09:56:39,386 INFO    :         Target - Loading custom (inline) test configuration\n",
-      "2016-04-04 09:56:39,386 INFO    :         Target - Devlib modules to load: ['bl', 'cpufreq']\n",
-      "2016-04-04 09:56:39,387 INFO    :         Target - Connecting Android target [DEFAULT]\n",
-      "2016-04-04 09:56:39,772 INFO    :         Target - Initializing target workdir:\n",
-      "2016-04-04 09:56:39,774 INFO    :         Target -    /data/local/tmp/devlib-target\n",
-      "2016-04-04 09:56:41,938 INFO    :         Target - Topology:\n",
-      "2016-04-04 09:56:41,940 INFO    :         Target -    [[0, 1, 2, 3], [4, 5]]\n",
-      "2016-04-04 09:56:42,062 INFO    :        TestEnv - Set results folder to:\n",
-      "2016-04-04 09:56:42,063 INFO    :        TestEnv -    /home/pippo/work/lisa/results/Android_PCMark\n",
-      "2016-04-04 09:56:42,064 INFO    :        TestEnv - Experiment results available also in:\n",
-      "2016-04-04 09:56:42,065 INFO    :        TestEnv -    /home/pippo/work/lisa/results_latest\n"
+      "2016-12-08 17:14:32,454 INFO    : TestEnv      : Using base path: /home/vagrant/lisa\n",
+      "2016-12-08 17:14:32,455 INFO    : TestEnv      : Loading custom (inline) target configuration\n",
+      "2016-12-08 17:14:32,456 INFO    : TestEnv      : Loading custom (inline) test configuration\n",
+      "2016-12-08 17:14:32,457 INFO    : TestEnv      : External tools using:\n",
+      "2016-12-08 17:14:32,458 INFO    : TestEnv      :    ANDROID_HOME: /home/vagrant/lisa/tools/android-sdk-linux/\n",
+      "2016-12-08 17:14:32,458 INFO    : TestEnv      :    CATAPULT_HOME: /home/vagrant/lisa/tools/catapult\n",
+      "2016-12-08 17:14:32,459 INFO    : TestEnv      : Loading board:\n",
+      "2016-12-08 17:14:32,460 INFO    : TestEnv      :    /home/vagrant/lisa/libs/utils/platforms/pixel.json\n",
+      "2016-12-08 17:14:32,462 INFO    : TestEnv      : Devlib modules to load: [u'bl', u'cpufreq']\n",
+      "2016-12-08 17:14:32,463 INFO    : TestEnv      : Connecting Android target [HT6670300102]\n",
+      "2016-12-08 17:14:32,463 INFO    : TestEnv      : Connection settings:\n",
+      "2016-12-08 17:14:32,464 INFO    : TestEnv      :    {'device': 'HT6670300102'}\n",
+      "2016-12-08 17:14:32,562 INFO    : android      : ls command is set to ls -1\n",
+      "2016-12-08 17:14:33,287 INFO    : TestEnv      : Initializing target workdir:\n",
+      "2016-12-08 17:14:33,288 INFO    : TestEnv      :    /data/local/tmp/devlib-target\n",
+      "2016-12-08 17:14:35,211 INFO    : TestEnv      : Topology:\n",
+      "2016-12-08 17:14:35,213 INFO    : TestEnv      :    [[0, 1], [2, 3]]\n",
+      "2016-12-08 17:14:35,471 INFO    : TestEnv      : Loading default EM:\n",
+      "2016-12-08 17:14:35,472 INFO    : TestEnv      :    /home/vagrant/lisa/libs/utils/platforms/pixel.json\n",
+      "2016-12-08 17:14:35,475 WARNING : TestEnv      : Wipe previous contents of the results folder:\n",
+      "2016-12-08 17:14:35,475 WARNING : TestEnv      :    /home/vagrant/lisa/results/Android_PCMark\n",
+      "2016-12-08 17:14:35,476 INFO    : TestEnv      : Set results folder to:\n",
+      "2016-12-08 17:14:35,476 INFO    : TestEnv      :    /home/vagrant/lisa/results/Android_PCMark\n",
+      "2016-12-08 17:14:35,476 INFO    : TestEnv      : Experiment results available also in:\n",
+      "2016-12-08 17:14:35,477 INFO    : TestEnv      :    /home/vagrant/lisa/results_latest\n"
      ]
     }
    ],
@@ -176,7 +201,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Support Functions"
+    "## Support Functions"
    ]
   },
   {
@@ -258,10 +283,12 @@
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
+    "#Check if PCMark si available on the device\n",
+    "\n",
     "def check_packages(pkgname):\n",
     "    try:\n",
     "        output = target.execute('pm list packages -f | grep -i {}'.format(pkgname))\n",
@@ -280,6 +307,8 @@
    },
    "outputs": [],
    "source": [
+    "# Function that helps run a PCMark experiment\n",
+    "\n",
     "def pcmark_run(exp_dir):\n",
     "    # Unlock device screen (assume no password required)\n",
     "    target.execute('input keyevent 82')\n",
@@ -293,7 +322,7 @@
     "    \n",
     "    # Run performance workload (assume screen is vertical)\n",
     "    target.execute('input tap 750 1450')\n",
-    "    # Wait for completion (7 minutes in total) and collect log\n",
+    "    # Wait for completion (10 minutes in total) and collect log\n",
     "    log_file = os.path.join(exp_dir, 'log.txt')\n",
     "    # Wait 5 minutes\n",
     "    sleep(300)\n",
@@ -303,7 +332,7 @@
     "                       stdout=log,\n",
     "                       shell=True)\n",
     "        # Wait additional two minutes for benchmark to complete\n",
-    "        sleep(120)\n",
+    "        sleep(300)\n",
     "\n",
     "        # Terminate logcat\n",
     "        logcat.kill()\n",
@@ -326,6 +355,8 @@
    },
    "outputs": [],
    "source": [
+    "# Function that helps run PCMark for different governors\n",
+    "\n",
     "def experiment(governor, exp_dir):\n",
     "    os.system('mkdir -p {}'.format(exp_dir));\n",
     "\n",
@@ -355,7 +386,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Run PCMark and collect scores"
+    "## Run PCMark and collect scores"
    ]
   },
   {
@@ -370,10 +401,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2016-04-04 09:57:04,879 INFO    : ------------------------\n",
-      "2016-04-04 09:57:04,881 INFO    : Run workload using performance governor\n",
-      "2016-04-04 10:04:13,684 INFO    : ------------------------\n",
-      "2016-04-04 10:04:13,685 INFO    : Run workload using interactive governor\n"
+      "2016-12-08 17:14:43,080 INFO    : root         : ------------------------\n",
+      "2016-12-08 17:14:43,081 INFO    : root         : Run workload using performance governor\n",
+      "2016-12-08 17:24:50,386 INFO    : root         : ------------------------\n",
+      "2016-12-08 17:24:50,387 INFO    : root         : Run workload using interactive governor\n"
      ]
     }
    ],
@@ -391,7 +422,7 @@
     "collapsed": false
    },
    "source": [
-    "After running the benchmark for the specified governors we can show the scores"
+    "After running the benchmark for the specified governors we can show and plot the scores:"
    ]
   },
   {
@@ -415,41 +446,47 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>PCMA_PHOTO_EDITING_SCORE</th>\n",
-       "      <td>7847.595587</td>\n",
-       "      <td>9281.817920</td>\n",
+       "      <th>PCMA_DATA_MANIPULATION_SCORE</th>\n",
+       "      <td>4264.355319</td>\n",
+       "      <td>4260.128135</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>PCMA_VIDEO_PLAYBACK_SCORE</th>\n",
-       "      <td>3519.155975</td>\n",
-       "      <td>3484.256511</td>\n",
+       "      <th>PCMA_PHOTO_EDITING_V2_SCORE</th>\n",
+       "      <td>16853.979140</td>\n",
+       "      <td>16422.056987</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>PCMA_WEB_SCORE</th>\n",
-       "      <td>6201.226146</td>\n",
-       "      <td>6444.737547</td>\n",
+       "      <th>PCMA_VIDEO_EDITING_SCORE</th>\n",
+       "      <td>6281.320705</td>\n",
+       "      <td>6314.691918</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>PCMA_WORK_SCORE</th>\n",
-       "      <td>4676.950746</td>\n",
-       "      <td>4934.220982</td>\n",
+       "      <th>PCMA_WEB_V2_SCORE</th>\n",
+       "      <td>5513.358130</td>\n",
+       "      <td>5610.058655</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>PCMA_WRITING_SCORE</th>\n",
-       "      <td>2793.820407</td>\n",
-       "      <td>2843.976358</td>\n",
+       "      <th>PCMA_WORK_V2_SCORE</th>\n",
+       "      <td>6803.354647</td>\n",
+       "      <td>6790.043529</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PCMA_WRITING_V2_SCORE</th>\n",
+       "      <td>5855.885077</td>\n",
+       "      <td>5823.619700</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                           interactive  performance\n",
-       "PCMA_PHOTO_EDITING_SCORE   7847.595587  9281.817920\n",
-       "PCMA_VIDEO_PLAYBACK_SCORE  3519.155975  3484.256511\n",
-       "PCMA_WEB_SCORE             6201.226146  6444.737547\n",
-       "PCMA_WORK_SCORE            4676.950746  4934.220982\n",
-       "PCMA_WRITING_SCORE         2793.820407  2843.976358"
+       "                               interactive   performance\n",
+       "PCMA_DATA_MANIPULATION_SCORE   4264.355319   4260.128135\n",
+       "PCMA_PHOTO_EDITING_V2_SCORE   16853.979140  16422.056987\n",
+       "PCMA_VIDEO_EDITING_SCORE       6281.320705   6314.691918\n",
+       "PCMA_WEB_V2_SCORE              5513.358130   5610.058655\n",
+       "PCMA_WORK_V2_SCORE             6803.354647   6790.043529\n",
+       "PCMA_WRITING_V2_SCORE          5855.885077   5823.619700"
       ]
      },
      "execution_count": 12,
@@ -478,9 +515,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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AAKiW0AoAAEC1hFYAAACqJbQCAABQLaEVAACAagmtAAAAVEtoBQAAoFpCKwAA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\nrkJggg==\n",
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fv3507dqVv/zlL/Tu3ZuCggLOPfdcPvjgA3Jzc7npppuYNGkS7du3p3HjxvTr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\nYSMAAAAAMAlhIwAAAAAwCWEjAAAAADA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O2xsXfG2Fzeb+jWvHdy6UPaDRPg5r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DidBEk2be034Kh+tw557hgCLiCrqOqs31VIgHFLkjU8SFaQnFMddyWV1NnfkvTT/hvHlaQxdx6Z\n8B8j2VZTi2NvIRlblzC8I3X55WSgUf3iw2QsLEzGQPnZXwu4gWQ5LlnsL8+ZS7K7dhrfy5TG3SZk\nztiw2p5O5ot2wLEuy7Epqc+4IVJ32gI4jiyf3orcLz0JbFwdr+eE+v5oLdIYaZOJvUxpgbcycDzw\nS+B80mzyIZLVeBxZ1ll3x12S1I0/H583pOfjhYyTer4q5y5JGhP1l8rG5I3hl0jQ8SiGBxYvBb7W\n4e+kfjIAXEU6uNXb5c9J5OHzcdJVsTwGyWj8A7DzuF6lNP4WIg+LV5Ji/q+u9k8jAccfV8co9n8V\nHxbVvQ4kndavA+4n9UfPrbZvpSk3U1ucZGtdgpkiUm3Z6t9UslLqI+Sl1c5ktdShZDwNAfeQuQPy\nMqu815LUeDtwIrAeTUm09jNKJ+VYWnrUsyTp7zSLdHjbh3xhDQFH0nxhbQfcBvzDfLk6af7aFVi7\n+v004F5ghWq7ffO7Chk/7WVzR5KHUzMa1e22Ixm8C5HMrQvJ8uhOAcfLqn0Xk86idZajwRd1kwNJ\np/Vdyed+XeBsEgw5kcwJD5KXTdsBc4BrgTvwMy/VdiIrqS4Ctqn2zSLlmp4A9q32TSaZjutU22Ww\nxGQHqTFAgvRD1b9LSD+FjRle9qw+t1QGGg8BvgMsMT6XKanfrMLIL5Q9yY3zcsC7aDIcB8hbyN8D\nH53Aa5QWBAeRsbBVtX0IKStwGE0wvlx6sC3wXXIDXZtMip3vNd4XK42zARJI+TXw8mrfK+gccNyR\nlBQYIoHHukO19erUTTYnn+Fjq+36AW0O8ADpNL0jyXJ8nMwPN5GVInWg0c+8+t0c0u32ENJgsjQT\n+Dh5IXtY65hZjNJzO4asJtkTOIvMTZeQ8VQ+73dqADOXPOO3a9FL0t/kAHLj/BXgg+ThcWGy5Ocq\n4G3Vee8H/gq8u9p+Dd4wq78cQAqYv7m1/+vAIyTbZdli/8Ikk6vs0F7zhlm9YnFSZ+u0Yl/dIKkd\ncNwD+DwGXdS9ZpOl0vNomn9BshgfJF2mIfdSs8kythk0L6D8zKvfbUvumdovXMts35WAj5El1QdN\n0HVJvWJnkpm4WrW9Lql5OkTmrpPIvdvU1t/NpSljIElj4gs0Xz73kQDjx0nQ5DjyZVXfJL+7OneP\n4u+9cVY/2IN89o8u9tWZWUsB/0uW/VxBurm/n4ylcqmoAUb1mvrhcJB0C31tcezlJOD4G+BV1b5F\naeaTKUjdaTbJGrkKWJN0yX0K2KU6PkDn5Z3OAepn9bg4iWT6TmPkOCm3lycBxyGaztSSRlfeV11P\neizU7iTlPI6jqYM6pzg+SDIaDTRKGhPlhP4f5IHwbcD7gC+SwuenkC+jMpNrTwwwqr/MJePgjyQ4\n/+riWPkm/lOk1ukTJPj4WczgUu+pAyblZ3p9kt14aOvcl5MGSkPAS4v91tlSt1uDvFy6HXgG2Lva\nby1GaXSTge8Dp49yvJ5fZpEmMCuSzEbvoaTO9gZOLrYXqX5uR1ZWrUvqBd9AE+CfTLLx63FVJ1QY\naJQ0psrJ+xLysLhjtb0LcCrwE/Lm/tn+VupVh9A0eHkl8DNScuBVxTntDK1yGR04VtQ73kTKBXQq\nGv4pUhdoxdb+9Um2vONAvWY2Kb5/J8Ozeg2mS51NAm6hCTZ2mhemA2cwsrGec4g03Jo0zWBOaR2b\nSZqVDQGX0zSIac9P04DdaJo0SdKYKifvi4DfATtU25NITYf6d6mfzCZvAncp9m1Kyg20A47lOCrH\nig+d6hVTgG+TZjC/Ag4GNiiOb0Caiu1XnN/mw6J6zWyS4XgF6fgpabgtyNLNk0hzvcOBJ2nGywDD\nG+utBVwNbDKxlyl1nVXJcul5wG2kGUxpT/LMshnPzox8SeOqfAC8kCbgWNekM2CifjSJ1AyCTMT1\nZDxawNFxol63MMnwPZWMgV+SjMY66HgecGNxvi+p1A/WIM3AbiUNYSTFgaQs03XA/aQczbnV9q3A\nRq3zFwcuJqutDIBInZXPGyeQF8BHkDrxny+OrU/KO9VNlnzhK2m+Kb+ALiA3B7viF5P6z/Lk4fFV\nwGI0N7ydAo7nMDy7S+pV7Qe/DUmNxt+QjMZzgXeQh8ldJ/TKpPlvbZK5ZYBEigOBp2meJdYFzibz\nxYlkieeDJNNxO9Ks4lpSX67OjHc8SZ3VL3NnkESh/ciKk58xPOB4Mskknj6hVydJHZSBxWvIsiCz\ntdRP9iI1uB4GHgV+DhxLlirAyIDjT0hX0rUm8iKl+aidrbgiCTLeCDxO6gMdO8HXJC1IDJCo323O\n8LmgnjfmkNq+y5Ma8eeSeeNPwE2kS7WN9aTO9gDOJOU7lq32TSfj6LPV9iDwU1L3FPJ8ch7OS5LG\nQR0ofCFL2crJvf5iMuCofrA/ueE9gnRg35zUMf098D/AS6rzJtGMqa2A83ESV39qf+53Iw+XPiRK\nUv+aTZZKz2N4vbjDSTZj2UhvNik/MAMb60mjWQf4MwniX0DKDbylOrYKCTBuSRq+DAI/IquvoBlX\nPqtIGlPLt7af75dMu7C/X07qdXWn6b06HDse+C3wObKsGpqC5iXHifpVp8++D4uS1L9mk5UfV5Gu\nuVsCT9E03RugczKDtX6lkVYmzyO/JEkO+wMPkazG44DTgKOrc5cE3lOd53iSNC72IbVSjicZWqVn\ny1Qsv5Q2o+lGLfWyXUkR5WVoxkcZdD8d+AO5eW4z81e9xM+zJGksrEFKMt0OPAPsXe335az0/Cxb\n/ZsKLAd8BHgM2JlkAx9Kmi0NkXqo06q/m87ftsJRkp6XfyFfPHeR+os3AJsAL2qdN2mU3w8mdVVe\nhdT7PgD8mmaSrtU3xMsBj9B0dDMgo173Qm5OB1o/JUmCvKT9JnAn8Npiv/OF9Ox2IvUWLwK2qfbN\nAj4BPAHsW+2bTDId16m2y7HlOJM0pupgyebAJcDWpBbK/5Cg483A7sCLW39XvmUcJFlcuyD1roWL\n3weBv9JkLraXgM4kDWMOmIDrkuaHt5MOoesxvFxA+bOTMii59DhclySpu80mGY5XABvP52uRusEc\n8txxCHmWL80EPg78ETisdcwsRknj5hDgk+SLZgD4NvDF4vimJNvxEVJD5SRyA1AGXeaSQOPOE3C9\n0vyyG/DvNEXKlwF+QQqa14H3KTRBltlkPG1RbfumUL1igCzFGar+XUKyUDYmGb3tc0vlTe0hwHeA\nJcbnMiVJXWwN4DKy5HO9+Xwt0oJsW/Ks3q4jXyYGrQR8jCypPghJGmeD5EGxDBJuQZYtrFFtfx+4\nlAQdjwR+R4rH1g+Qh1X7DDSq1+1GxsuJJKAyCTiKTNrfIMWVa4sBX2V4IFLqNceQYv57AmeRMhqX\nkHmhDCDWY6AMNM4lXdt3Hf/LlCR1qbVJooP3UtJIddOkk4AvkdWK7Ze85fbyJOA4RNOZWpLG3L5k\nCWhdz6H+IloZuJF0pPoucD2wQvF3U2km/E1Izbrdx/tipfmsDpLsSibofyPBlGmkduPDZOnCecBX\ngGtJoL5uGONNsnrRziQzcbVqe13S2XAImEdufhcn80ZpLk2xckmSng/vpaSRJpNnjtNHOV4/w8wi\nTWBWJJmN7fJPkjQm9iUPgxfRfNHUy6ghX0BDpEFM2Vm6PcnPBl4xfpcpLRAWImOjLh3wRhKo/wQJ\nNi4MrA+cRmoLfQV4H83YcjJXrym7rl9Pst9rd5Jg+3E03Q7nFMcHSUajgUZJkqS/zyTgFppgY6fn\njunAGWSlYslnFEljahD4C6mB8i3go6T2FiSYOEC6T19Nshvr/VK/eV3xe5mZ9SXgtzQZjssUxxZp\n/R9O4uoVewMnF9v1Z307snR6XeAO8pKqXsYzGTicZhzswcjSHZIkSXr+tiAvdU8CtiL3Wk/SNFMa\nYHgi0Vrk2X6Tib1MSf3kneRBb9tq+1+A28mX1bKtc/8duBs7VKk/rUyWRl/a2n8hcBcJnryZjKdP\n0zSNKdkQRr1iTZpmMKe0js0E7q2OXU7TIKb9+Z9G6p5ugyRJkv4WB5JnlOuA+0mH6XOr7VuBjVrn\nLw5cTF4Mm0AkaVwsBvwjsENr/z8DtzEy4DgDeBw4YkKuTlqwTCcd3X4GnFPt+woJNK5WnLcT8GfS\nwX2pibxAaQKtSpZLzyPzxVmt43sC9wGbPcf/402uJEnS3+ZA4GlSQ34hsqrkbOAe0sDyXuBBkum4\nHSljcy1ZeWIdeUnjqv6SmcTw5Z2dAo5Lke7TLgNVP1mq+ldPxLuSt4aPkuLLdcmBSTRZv3uRpkpm\nAavXlNmJJwC/Ii+gfgB8vji2PnAzqfcLzhuSJEljaXOyiuTYart+7pgDPEA6Te9IshwfB/4E3ETK\nP9UxAO/PJI2p/Ug2ymZkaWhp4eL3fyap18cyvPs0+MWk/rAbWQZ6H3lLuEWx/27S/KVWN42pJ/o6\nKGPAUb2m/kzPIGUE9gMOJlm/ZcDxZFIvaPqEXp0kSVLvm02WStfP9bXDSTZjXdJpoDp3PXLvVj+j\n+DwvacwMkBpZ95O3IF8l9Rn3BVYpzitTqevMlQOK/0PqB4PkLeCngFNJwPE7wMtII4zdgF8C5xd/\nUwccqX46XtQr9gDOJDerdbb7dPK2/LPV9iDwU9LdEFJ8/DxcniNJkjQeZgNXAleRetpbAk8Bu1TH\nR3seMRlC0piqv2gOJBlZOwPvJ2nWVwD/CqwELNr6u0PxYVH9ZT/gr8Abi307kK7tdeC9bm7xcxJw\nkXrVOqQO6RBwASkq/pbq2CokwLglGRODwI9o6prW845ziCRJ0thbgzzL3w48A+xd7ffeS9KEewMp\nCrtptb0Cs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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fb1f6f80c10>"
+       "<matplotlib.figure.Figure at 0x7f9af7a71b10>"
       ]
      },
      "metadata": {},
@@ -509,7 +546,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.9"
+   "version": "2.7.6"
   },
   "toc": {
    "toc_cell": false,
commit	b0a39f1a8f9dea11c3321c6790f51d93c6379bcf	[log] [tgz]
author	Ionela Voinescu <ionela.voinescu@arm.com>	Thu Dec 08 17:43:43 2016 +0000
committer	Ionela Voinescu <ionela.voinescu@arm.com>	Mon Dec 12 13:26:04 2016 +0000
tree	4bdae0216394a292449ed295844d1d2409019794
parent	f6c25ff7c4f0e0070a1cf76414ddd602cd5d69f5 [diff]